CEVA MediaRoom (Markets) http://ceva-dsp.mediaroom.com/ CEVA is the leading licensor of cellular, multimedia and connectivity technologies to semiconductor companies and OEMs serving the mobile, consumer, automotive and IoT markets. Our DSP IP portfolio includes comprehensive platforms for multimode 2G/3G/LTE/LTE-A baseband processing in terminals and infrastructure, computer vision and computational photography for any camera-enabled device, audio/voice/speech and ultra-low power always-on/sensing applications for multiple IoT markets. For connectivity, we offer the industry’s most widely adopted IPs for Bluetooth (Smart and Smart Ready), Wi-Fi (802.11 b/g/n/ac up to 4x4) and serial storage (SATA and SAS). One in every three phones sold worldwide is powered by CEVA, from many of the world’s leading OEMs including Samsung, Huawei, Xiaomi, Lenovo, HTC, LG, Coolpad, ZTE, Micromax and Meizu. CEVA's Bluetooth® 5 Low Energy IP Powers ON Semiconductor's Ultra-Low-Power Radio SoC for IoT and Connected Health and Wellness Devices http://ceva-dsp.mediaroom.com/2017-02-28-CEVAs-Bluetooth-R-5-Low-Energy-IP-Powers-ON-Semiconductors-Ultra-Low-Power-Radio-SoC-for-IoT-and-Connected-Health-and-Wellness-Devices Bluetooth Certified RSL10 leverages RivieraWaves Bluetooth 5 low energy IP for enhanced connectivity Tue, 28 Feb 2017 02:00:00 -0500 http://ceva-dsp.mediaroom.com/2017-02-28-CEVAs-Bluetooth-R-5-Low-Energy-IP-Powers-ON-Semiconductors-Ultra-Low-Power-Radio-SoC-for-IoT-and-Connected-Health-and-Wellness-Devices CEVA and ASTRI Unveil Dragonfly NB1, a Licensable NB-IoT Solution For Cost and Power-Sensitive LTE IoT Devices http://ceva-dsp.mediaroom.com/2017-02-27-CEVA-and-ASTRI-Unveil-Dragonfly-NB1-a-Licensable-NB-IoT-Solution-For-Cost-and-Power-Sensitive-LTE-IoT-Devices - Pre-integrated Release 13 Cat-NB1 modem IP solution composed of CEVA-X1 processor, optimized RF and baseband software reduces time-to-market and lowers entry barriers Mon, 27 Feb 2017 00:01:00 -0500 http://ceva-dsp.mediaroom.com/2017-02-27-CEVA-and-ASTRI-Unveil-Dragonfly-NB1-a-Licensable-NB-IoT-Solution-For-Cost-and-Power-Sensitive-LTE-IoT-Devices CEVA Introduces the World's Most Advanced Communication DSP, Providing Cutting-Edge Performance for Multi-Gigabit Class Connectivity http://ceva-dsp.mediaroom.com/2017-02-23-CEVA-Introduces-the-Worlds-Most-Advanced-Communication-DSP-Providing-Cutting-Edge-Performance-for-Multi-Gigabit-Class-Connectivity - CEVA-XC12 is the industry's first DSP capable of meeting the extreme performance requirements critical to the success of 5G, gigabit LTE, MU-MIMO Wi-Fi and other multi-gigabit modems Thu, 23 Feb 2017 00:01:00 -0500 http://ceva-dsp.mediaroom.com/2017-02-23-CEVA-Introduces-the-Worlds-Most-Advanced-Communication-DSP-Providing-Cutting-Edge-Performance-for-Multi-Gigabit-Class-Connectivity Waves Audio and CEVA Partner for Far-Field Voice Pick Up and Psychoacoustic Sound Enhancement http://ceva-dsp.mediaroom.com/2017-02-21-Waves-Audio-and-CEVA-Partner-for-Far-Field-Voice-Pick-Up-and-Psychoacoustic-Sound-Enhancement-Solutions-targeting-Mobile-Smart-Home-and-Wireless-Audio-Markets Jointly optimized solutions combine Waves' MaxxAudio® and MaxxVoice™ technologies with CEVA audio/voice DSP, delivering unprecedented performance and power efficiency; Companies to demonstrate solutions at Mobile World Congress 2017 Tue, 21 Feb 2017 07:00:00 -0500 http://ceva-dsp.mediaroom.com/2017-02-21-Waves-Audio-and-CEVA-Partner-for-Far-Field-Voice-Pick-Up-and-Psychoacoustic-Sound-Enhancement-Solutions-targeting-Mobile-Smart-Home-and-Wireless-Audio-Markets Altek License CEVA Imaging and Vision DSP for Deep Learning in Mobile Devices http://ceva-dsp.mediaroom.com/2017-01-05-Altek-License-CEVA-Imaging-and-Vision-DSP-for-Deep-Learning-in-Mobile-Devices Industry-leading provider of imaging solutions to integrate CEVA intelligent vision DSP with its image signal processor technologies targeting smartphones and other camera-enabled smart devices Thu, 05 Jan 2017 07:01:00 -0500 http://ceva-dsp.mediaroom.com/2017-01-05-Altek-License-CEVA-Imaging-and-Vision-DSP-for-Deep-Learning-in-Mobile-Devices